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Intro
Acknowledgments
Contents
Notes on Contributors
List of Tables
1: An Introduction to Expertise at Work: Current and Emerging Trends
Overview of the Content
References
Part I: Expertise: Definitions and Concepts
2: The Changing Concepts of Expertise and Expertise Development
Defining Expertise
Psychological Perspective of Expertise
Sociological Perspectives of Expertise
Expertise in the Workplace
Expertise Development Through Skill Acquisition
Adaptation and Flexibility
Emerging Ideas of Expertise Development
Conclusion
References

3: Routine Expertise, Adaptive Expertise, and Task and Environmental Influences
What Is Adaptive Expertise?
Stimulating the Development of Adaptive Expertise
Developing Adaptive Expertise in Organizations
References
4: Identifying and Measuring Expertise in Organizations
Expertise Measurement
Considerations for Organizations
References
Part II: Expertise in Organizational Settings
5: Veteran Experts: Transitioning Military Expertise into Civilian Work
Expertise in the Military
Soft Skills Expertise
Technical Skills Expertise

Veterans' Expertise Redevelopment
Environment
Constituents
Content
Redevelopment of Expertise for Successful Career Transition
A Case Study of Service Member Expertise Redevelopment
Valuing Military Veterans' Expertise for Civilian Employment
The Veteran's Role
The Organization's Role
Soft Skills Expertise
Conclusion
References
6: Expertise in Sports: What Is the Secret Behind World-Class Athletic Success?
The Case for Developing a Cycling Prodigy
Athletic Talent
Self-Regulation
Physical and Technical Demands of Cycling

The Psychological Demands of Cycling
Affect
Anxiety
Mood
Pain and Fatigue
Conclusion
References
7: An Assemblage of Knowledge: Novices, Experts, and Expertise in Universities
Universities as Sites of Expertise
Expertise in Universities
Experts and Novices in Universities
Universities as Assemblages of Knowledge
Conclusion
References
Part III: Emerging Concepts of Expertise in Organizations
8: A Brief History of the Relationship Between Expertise and Artificial Intelligence
History, Current Status, and Prospects of Artificial Intelligence

Early Days (1956-1974)
First AI Winter (1974-1980)
Expert Systems (1980-1987)
Second AI Winter (1987-1993)
Multi-agent Systems and the Semantic Web (1993-2011)
Big Data and Deep Learning (2011-Present)
Hybrid AI (The Future Paradigm of AI)
History of Expertise Studies
Empirical Research on Joint Cognitive Systems
Case Study: Radiology
Conclusion
References
9: The Impact of Changing Workforce Demographics and Dependency on Technology on Employers' Need for Expert Skills
New Demands for Employee Skills in Profit Versus Nonprofit Organizations

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